Evidence map›Paper›PMID 38005161›Full record

ArticleMaterials (Basel, Switzerland)2023

Thermal Study of Carbon-Fiber-Reinforced Polymer Composites Using Multiscale Modeling.

Wiem Nasri, Zied Driss, Ridha Djebali, Kyu-Yeon Lee, Hyung-Ho Park, Abderazak Bezazi, Paulo N B Reis

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 4 countries.

Wiem NasriLaboratory of Electro-Mechanic Systems (LASEM), National School of Engineers of Sfax (ENIS), University of Sfax (US), B.P. 1173, Road Soukra km 3.5, Sfax 3038, Tunisia.ORCID 0000-0002-2447-2649
Zied DrissLaboratory of Electro-Mechanic Systems (LASEM), National School of Engineers of Sfax (ENIS), University of Sfax (US), B.P. 1173, Road Soukra km 3.5, Sfax 3038, Tunisia.ORCID 0000-0003-0397-1868
Ridha DjebaliUR22ES12: Modeling, Optimization and Augmented Engineering, ISLAI Béja, University of Jendouba, Béja 9000, Tunisia.ORCID 0000-0002-1017-3410
Kyu-Yeon LeeDepartment of Materials Science and Engineering, Yonsei University, Seoul 03722, Republic of Korea.
Hyung-Ho ParkDepartment of Materials Science and Engineering, Yonsei University, Seoul 03722, Republic of Korea.ORCID 0000-0001-5540-5433
Abderazak BezaziLaboratory of Applied Mechanics of New Materials (LMANM), Université 8 Mai 1945-Guelma, B.P. 401, Guelma 24000, Algeria.ORCID 0000-0002-4461-6689
Paulo N B ReisUniversity of Coimbra, CEMMPRE, ARISE, Department of Mechanical Engineering, 3030-788 Coimbra, Portugal.ORCID 0000-0001-5203-3670
University of Sfax · TNYonsei University · KRUniversity of Coimbra · PTUniversity of Guelma · DZUniversity of Jendouba · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The layered fibers of carbon-fiber-reinforced polymer (CFRP) composites exhibit low thermal conductivity (TC) throughout their thickness due to the poor TC of the polymeric resin. Improved heat transmission inside the hydrogen storage tank during the filling process can reduce further compression work, and improved heat insulation can minimize energy loss. Therefore, it is crucial to understand the thermal properties of composites. This paper reports the thermal behavior of plain-woven CFRP composite using simulation at the micro-, meso-, and macro-scales. The TC was predicted numerically and compared to experimental findings and analytical models. Good results were found. Using the approach of multi-scale modeling, a parametric study was carried out to analyze in depth the influence of certain variables on thermal properties. The study revealed that both fiber volume fraction and temperature significantly influenced the TC of the composite, with the interphase fiber/matrix thickness following closely in terms of impact. The matrix porosity was found to have a relatively slighter impact, particularly within the porosity range of 5 to 15%.

Indexed as

carbon-fiber-reinforced polymermicro-scalemulti-scale modelingthermal conductivitywoven fabric

Identifiers

PMID38005161
PMCPMC10673121
OpenAlexW4388830531

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.